Empowering Agriculture Through Technology

👉 mundolapa.com

Mundolapa Technologies builds cloud-native platforms and intelligent tools for precision agriculture, remote sensing, and data-driven farm management.
Our mission is to empower farmers, agronomists, and organizations through innovation, automation, and sustainable technology.

A multi-tenant SaaS ecosystem for modern agriculture integrating geospatial data, IoT, and analytics:

We are building AI-driven agricultural intelligence into the Agromatik ecosystem — combining domain knowledge, data science, and cloud automation to power next-generation tools for precision farming.

An intelligent conversational assistant designed to help producers and agronomists make data-informed decisions.

• 💬 Chat-based interface: Ask for field recommendations, weather summaries, or NDVI interpretations.
• 🗣️ Voice interaction (in development): Farmers will soon be able to send voice notes and receive AI responses.
• 🧠 Contextual understanding: Trained on domain-specific knowledge bases, field logs, and crop data.
• 📈 Adaptive learning: Continuously improves from user interactions and verified agronomic insights.

Using drone and satellite imagery for early detection and classification of crop stress and diseases.

• 🔍 Multispectral image analysis: Processes NDVI, NDRE, OSAVI, and other vegetation indices.
• 🌱 AI-based crop classification: Detects anomalies, pest stress, and irrigation issues from orthomosaics.
• 📸 Automated segmentation pipelines: Converts raw drone imagery into actionable layers in PostGIS.
• 🧩 Future vision: Integration of convolutional models to identify nutrient deficiencies or diseases visually.

We design predictive systems that learn from historical weather, soil, and crop yield data.

• ⛅ Rainfall prediction and climate pattern forecasting.
• 🌾 Yield estimation based on growth stages and weather inputs.
• 🐛 Pest and disease alerts generated from environmental triggers and local data correlations.
• ⚙️ AWS Lambda-based schedulers generate periodic forecasts and insights for user dashboards.

We use serverless architectures and workflow engines to automate operations and ensure scalability.

• 🧩 AWS Lambda + SQS + EventBridge handle asynchronous tasks and background processes.
• 🧰 n8n workflows automate data synchronization, report generation, and email notifications.
• 🔄 Automated alerts and triggers for rainfall updates, new field data, or threshold exceedances.
• 📡 Integration-ready microservices for connecting IoT weather stations, sensors, and external APIs.

Our goal is to create a unified agronomic intelligence layer across all Agromatik modules:

• AI agents that collaborate across modules (Rain Tracker, Field Operations, Maps).
• Dynamic knowledge graphs linking climate, soil, and management data.
• Continuous model retraining from real-world field feedback.
• Transparent, explainable AI for decision support — not replacement of human expertise.

Our philosophy: AI should assist agronomists, not replace them — turning data into practical insight while keeping farmers in control of every decision.

• 🐍 Django 5.2 + Django REST Framework — modular backend with a clean hexagonal architecture (core, api, integrations, notifications, etc.)
• 🌐 AWS Infrastructure:
  • RDS (PostgreSQL + PostGIS) for spatial data
  • Cognito for user authentication and federated logins (Google, Facebook)
  • Lambda for scheduled and serverless tasks
  • S3 for media storage (drone imagery, reports)
  • SES for transactional and contact emails
  • Fargate + ECS for Dockerized deployments
• 🧰 Docker, Celery, Redis for background processing and scalable containerized environments
• 🔒 AWS Secrets Manager for secure credentials and configuration
• ⚙️ CI/CD powered by GitHub Actions

• ⚛️ Next.js 15 (App Router) + TypeScript — dynamic web dashboard for all Agromatik modules
• 🎨 Tailwind CSS v4, shadcn/ui, and Framer Motion for a modern and responsive UI
• 🌍 Next-Intl for multilingual support (English, Spanish, French, Portuguese)
• 🔄 React Query / SWR for optimized API data synchronization
• 🔐 Amplify Auth integration for AWS Cognito and OAuth providers
• 🧩 Modular structure with dynamic pages and guards: AuthGuard, ModuleGuard, and DashboardLayout

• 📱 React Native with Expo for cross-platform mobile field operations
• 🛰️ Offline-first architecture using local storage and sync queues for field data collection
• 🧭 Mapbox SDK integration for field mapping, GPS tracking, and spatial data input
• 📡 API-first communication with the Agromatik backend (REST + JSON schemas)
• 🔒 AWS Amplify Auth for secure mobile login using Cognito
• 📷 Media capture integration — upload photos, geotagged field images, and crop reports directly to S3
• 🧠 Future integration with AI-based image recognition (crop stress detection, pest classification)
• ⚙️ Built for field technicians, agronomists, and client administrators to collect, sync, and monitor real-time data.

• ☁️ AWS ECS / Fargate for scalable deployments
• 🧩 Amazon QuickSight for integrated BI dashboards and analytics
• 🔄 n8n workflows for automation (notifications, report generation, triggers)
• 🧮 Dockerized environments for both development and production
• 🧠 AI microservices (in progress) — serverless endpoints for predictive analytics and computer vision tasks

We specialize in drone-based mapping and remote sensing, integrating RGB and multispectral imagery from DJI Mavic 3 Multispectral into cloud workflows.

Key capabilities:

• Orthomosaic and 3D terrain model generation
• Vegetation indices (NDVI, NDRE, OSAVI, LCI)
• Topographic and drainage analysis
• QGIS and Django PostGIS integration for advanced spatial analysis

To lead the global transition toward data-driven, sustainable agriculture — merging cloud computing, AI, and geospatial analytics into accessible tools that empower people and protect the planet.

We collaborate with producers, agronomists, researchers, and NGOs worldwide.

If you’re seeking custom software, GIS integrations, or cloud infrastructure for agricultural or environmental applications, let’s talk.

📧 info@mundolapa.com
🌐 mundolapa.com
🔗 LinkedIn

Arnold Lara — Founder & Lead Developer
💻 Full-stack engineer focused on geospatial intelligence, cloud architecture, and AI-driven agriculture.
📍 Honduras, Central America

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